Yutong Meng

551 total citations · 1 hit paper
13 papers, 368 citations indexed

About

Yutong Meng is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Yutong Meng has authored 13 papers receiving a total of 368 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Cancer Research and 4 papers in Oncology. Recurrent topics in Yutong Meng's work include Cancer-related molecular mechanisms research (4 papers), Ubiquitin and proteasome pathways (3 papers) and RNA modifications and cancer (2 papers). Yutong Meng is often cited by papers focused on Cancer-related molecular mechanisms research (4 papers), Ubiquitin and proteasome pathways (3 papers) and RNA modifications and cancer (2 papers). Yutong Meng collaborates with scholars based in China. Yutong Meng's co-authors include Xiaozhi Li, Youwei Ai, Bo Yan, Qinyi Zhou, Xiaodong Wang, Hongying Zhao, Mulan Jin, Rui Pan, Wenying Zhang and Xiumei Hu and has published in prestigious journals such as Molecular Cell, PLoS ONE and BioMed Research International.

In The Last Decade

Yutong Meng

13 papers receiving 368 citations

Hit Papers

The biochemical pathways of apoptotic, necroptotic, pyrop... 2024 2026 2025 2024 50 100 150 200

Peers

Yutong Meng
He Tian China
Mang Xiao United States
Andrea E. Calvert United States
Ke Hao China
He Tian China
Yutong Meng
Citations per year, relative to Yutong Meng Yutong Meng (= 1×) peers He Tian

Countries citing papers authored by Yutong Meng

Since Specialization
Citations

This map shows the geographic impact of Yutong Meng's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Yutong Meng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yutong Meng more than expected).

Fields of papers citing papers by Yutong Meng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yutong Meng. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Yutong Meng. The network helps show where Yutong Meng may publish in the future.

Co-authorship network of co-authors of Yutong Meng

This figure shows the co-authorship network connecting the top 25 collaborators of Yutong Meng. A scholar is included among the top collaborators of Yutong Meng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yutong Meng. Yutong Meng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Ai, Youwei, Yutong Meng, Bo Yan, Qinyi Zhou, & Xiaodong Wang. (2024). The biochemical pathways of apoptotic, necroptotic, pyroptotic, and ferroptotic cell death. Molecular Cell. 84(1). 170–179. 215 indexed citations breakdown →
2.
Meng, Yutong, et al.. (2024). UGT gene family identification and functional analysis of HvUGT1 under drought stress in wild barley. Physiology and Molecular Biology of Plants. 30(8). 1225–1238. 8 indexed citations
3.
Hu, Yanping, et al.. (2022). Breast Carcinoma with a Special Histological Pattern of Sebaceous Differentiation and High-Frequency Microsatellite Instability: A Case Report and Review of the Literature.. PubMed. 52(5). 850–857. 1 indexed citations
4.
Meng, Yutong & Xiaozhi Li. (2021). Expression and Prognosis Analysis of SUMOylation Regulators in Oral Squamous Cell Carcinoma Based on High-Throughput Sequencing. Frontiers in Genetics. 12. 671392–671392. 12 indexed citations
5.
Li, Xiaozhi & Yutong Meng. (2021). Expression and prognostic characteristics of m5C regulators in low‐grade glioma. Journal of Cellular and Molecular Medicine. 25(3). 1383–1393. 29 indexed citations
6.
Li, Xiaozhi & Yutong Meng. (2021). SUMOylation Regulator-Related Molecules Can Be Used as Prognostic Biomarkers for Glioblastoma. Frontiers in Cell and Developmental Biology. 9. 658856–658856. 15 indexed citations
7.
Li, Xiaozhi & Yutong Meng. (2021). Construction of a SUMOylation regulator‐based prognostic model in low‐grade glioma. Journal of Cellular and Molecular Medicine. 25(12). 5434–5442. 4 indexed citations
8.
Li, Xiaozhi & Yutong Meng. (2020). Analyses of metastasis-associated genes in IDH wild-type glioma. BMC Cancer. 20(1). 1114–1114. 9 indexed citations
9.
Li, Xiaozhi & Yutong Meng. (2020). Immune‐Related lncRNA Risk Signatures Predict Survival of IDH Wild‐Type and MGMT Promoter Unmethylated Glioblastoma. BioMed Research International. 2020(1). 1971284–1971284. 7 indexed citations
10.
Li, Xiaozhi & Yutong Meng. (2019). Survival analysis of immune-related lncRNA in low-grade glioma. BMC Cancer. 19(1). 813–813. 46 indexed citations
11.
Li, Xiaozhi & Yutong Meng. (2019). Survival Analysis of Immune-Related lncRNA in Low-Grade Glioma. SSRN Electronic Journal. 1 indexed citations
12.
Li, Xiaozhi & Yutong Meng. (2019). A prognostic nomogram for neuroblastoma in children. PeerJ. 7. e7316–e7316. 13 indexed citations
13.
Hu, Xiumei, et al.. (2018). The prognosis significance and application value of peritoneal elastic lamina invasion in colon cancer. PLoS ONE. 13(4). e0194804–e0194804. 8 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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